LOCATION INTELLIGENCE
Locations are critical to business performance, especially in the retail industry. Location intelligence platform TargomoLOOP helps retailers make data-based decisions quickly and easily to find the best sites for a store, restaurant or bar:
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Discover patterns and correlations that impact success by analyzing all location-related variables in one platform.
Everyone in the organization can use our location analytics technology thanks to its intuitive design. No IT knowledge or GIS expertise is required.
Speed up your decision-making process and stay ahead of the competition with our fast-calculating platform that gives you results within minutes.
Shortlist the best locations and discard non-suitable ones quickly with an easy-to-use ranking function based on data.
Find potential success factors with a correlation feature that analyzes relations between location variables and performance indicators.
Learn how many potential customers can reach your points of sale and whether a site is attractive thanks to a detailed catchment area analysis.
Offer your services in the areas where your target groups live thanks to socio-demographic data. Optimize the assortment to match local tastes.
Learn about an area's characteristics and find the right neighborhood for your brand and retail concept.
Easily analyze the catchment area of locations.
Customize catchment area settings that suit your business. Includes e-bikes, rush hour and public transportation.
Pick from two dozen statistics groups.
Analyze your surroundings with reachable places.
Pick from 30 reachable places categories.
Analyze and compare all your branches in one platform.
Cannibalization analysis: Examine the impact of competitors and own network branches on catchment areas.
Easily rank locations that best match your requirements.
Customize location search by weighing variables and reachable places.
Upload locations to analyze your network, potential new branches, or competitors.
Compare your locations versus the competition.
Discover success factors by analyzing correlations between location variables and internal KPIs.
Target specific income and consumer profile groups (Pro and Enterprise users).
Use movement or visitors data to analyze potential footfall (Pro and Enterprise users).